Weiwei Wang
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Interference and Gene Delivery 15
- RNA modifications and cancer 11
- Surgery 35
- Tissue Engineering and Regenerative Medicine 13
- Co-authors
- Nan Ma (35 shared papers)Gustav Steinhoff (8 shared papers)Wenzhong Li (9 shared papers)Andreas Lendlein (30 shared papers)Dario Furlani (5 shared papers)Xun Xu (20 shared papers)Lee‐Lee Ong (3 shared papers)Karen Bieback (4 shared papers)
- Journals
- Scientific Reports (9 papers)PLoS ONE (7 papers)Frontiers in Oncology (7 papers)Oncotarget (4 papers)Medicine (4 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Weiwei Wang
264 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 155
- Genetics 634
- Cancer Research 775
- Molecular Medicine 201
- Molecular Biology 2.2k
- Biomaterials 437
Countries citing papers authored by Weiwei Wang
This map shows the geographic impact of Weiwei Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weiwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Wang more than expected).
Fields of papers citing papers by Weiwei Wang
This network shows the impact of papers produced by Weiwei Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weiwei Wang. The network helps show where Weiwei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 287 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 286 | |
| 2 | 2011 | 253 | |
| 3 | 2015 | 198 | |
| 4 | 2013 | 184 | |
| 5 | 2006 | 154 | |
| 6 | 2016 | 140 | |
| 7 | 2010 | 119 | |
| 8 | 2011 | 117 | |
| 9 | 2010 | 105 | |
| 10 | 2017 | 99 | |
| 11 | 2010 | 97 | |
| 12 | 2017 | 89 | |
| 13 | 2015 | 79 | |
| 14 | 2014 | 76 | |
| 15 | 2012 | 75 | |
| 16 | 2015 | 75 | |
| 17 | 2015 | 73 | |
| 18 | 2013 | 69 | |
| 19 | 2017 | 66 | |
| 20 | 2012 | 64 |
About Weiwei Wang
Weiwei Wang is a scholar working on Molecular Biology, Surgery, Genetics, Oncology and Cancer Research, having authored 287 papers that have together received 5.9k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (19 papers), RNA Interference and Gene Delivery (15 papers), MicroRNA in disease regulation (14 papers), Tissue Engineering and Regenerative Medicine (13 papers), Cancer-related molecular mechanisms research (12 papers), Glioma Diagnosis and Treatment (12 papers), RNA modifications and cancer (11 papers) and Electrospun Nanofibers in Biomedical Applications (10 papers). The work is most often cited by research in Genetics (634 citations), Cancer Research (775 citations), Molecular Medicine (201 citations), Molecular Biology (2.2k citations) and Biomaterials (437 citations). Weiwei Wang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Nan Ma, Gustav Steinhoff, Wenzhong Li, Andreas Lendlein, Dario Furlani, Xun Xu, Lee‐Lee Ong, Karen Bieback, Shangli Zhang and Chuandong Fan. Their work appears in journals such as Scientific Reports, PLoS ONE, Frontiers in Oncology, Oncotarget and Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.